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Learned Gaussian Quadrature
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Developing a machine learning-based quadrature rule – the learned Gaussian quadrature (L-GQ)
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L-GQ significantly improves the computational efficiency for constructing the system matrix.
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L-GQ can be readily applied to various modern FE formulations, such as enriched FEs, meshless schemes, and continuum-based 3D beam FE.
ML-based Accelerated & Inverse Analysis for Focused Ultrasound
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Determining the intensity, focal position, and shape of ultrasound remains challenging task, and computational simulations are not suitable for clinical practice due to high computational costs.
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ML-based inverse and accelerated analysis techniques allows for real-time navigation of transducers and estimation of acoustic fields.
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